Published multiple papers on bioinformatics algorithms and technologies, particularly contributing to improving biological data analysis efficiency through parallel computing.
Research Experience
Involved in the development of several bioinformatics tools, including Pandora, Pythia, Lagrange-NG, among others; also developed specialized software like NetRAX and SpeciesRax for species tree inference and network construction.
Background
Focused on the evolution of hardware and parallel computer architectures as well as molecular sequences. Aims to establish parallel computing as a standard technique in bioinformatics to address the 'Bio-Gap' between the pace of molecular data accumulation and CPU speed increases.
Miscellany
Welcomes students interested in programming to join the team for project collaborations or to complete thesis work.